STRINGVACUA. A Mathematica package for studying vacuum configurations in string phenomenology. - James Gray; Yang-Hui He; Anton Ilderton; André Lukas (Comput. Phys. Commun., 2009)

Modular subgroups, dessins d'enfants and elliptic K3 surfaces. - Yang-Hui He; John McKay 001; James Read (LMS J. Comput. Math., 2013)

hep-th. - Yang-Hui He; Vishnu Jejjala; Brent D. Nelson (CoRR, 2018)

Rendering Non-Euclidean Space in Real-Time Using Spherical and Hyperbolic Trigonometry. - Daniil Osudin; Chris Child; Yang-Hui He (ICCS (5), 2019)

Machine-learning a virus assembly fitness landscape. - Pierre-Philippe Dechant; Yang-Hui He (CoRR, 2019)

Rendering Non-Euclidean Geometry in Real-Time Using Spherical and Hyperbolic Trigonometry. - Daniil Osudin; Christopher Child; Yang-Hui He (CoRR, 2019)

Machine Learning meets Number Theory: The Data Science of Birch-Swinnerton-Dyer. - Laura Alessandretti; Andrea Baronchelli; Yang-Hui He (CoRR, 2019)

Machine Learning Lie Structures & Applications to Physics. - Heng-Yu Chen; Yang-Hui He; Shailesh Lal; Suvajit Majumder (CoRR, 2020)

Machine-Learning the Classification of Spacetimes. - Yang-Hui He; Juan Manuel Pérez Ipiña (CoRR, 2022)

Efficient Quantum Computation of the Fermionic Boundary Operator. - Ismail Yunus Akhalwaya; Yang-Hui He; Lior Horesh; Vishnu Jejjala; William Kirby; Kugendran Naidoo; Shashanka Ubaru (CoRR, 2022)

From the String Landscape to the Mathematical Landscape: a Machine-Learning Outlook. - Yang-Hui He (CoRR, 2022)

Cluster Algebras: Network Science and Machine Learning. - Pierre-Philippe Dechant; Yang-Hui He; Elli Heyes; Edward Hirst (CoRR, 2022)

Towards Quantum Advantage on Noisy Quantum Computers. - Ismail Yunus Akhalwaya; Shashanka Ubaru; Kenneth L. Clarkson; Mark S. Squillante; Vishnu Jejjala; Yang-Hui He; Kugendran Naidoo; Vasileios Kalantzis; Lior Horesh (CoRR, 2022)

Machine-learning the Sato-Tate conjecture. - Yang-Hui He; Kyu-Hwan Lee; Thomas Oliver (J. Symb. Comput., 2022)

Numerical spectra of the Laplacian for line bundles on Calabi-Yau hypersurfaces. - Anthony Ashmore; Yang-Hui He; Elli Heyes; Burt A. Ovrut (CoRR, 2023)

Machine Learning Clifford invariants of ADE Coxeter elements. - Siqi Chen; Pierre-Philippe Dechant; Yang-Hui He; Elli Heyes; Edward Hirst; Dmitrii Riabchenko (CoRR, 2023)

Learning to be Simple. - Yang-Hui He; Vishnu Jejjala; Challenger Mishra; Max Sharnoff (CoRR, 2023)

Machine learning class numbers of real quadratic fields. - Malik Amir; Yang-Hui He; Kyu-Hwan Lee; Thomas Oliver; Eldar Sultanow (Int. J. Data Sci. Math. Sci., 2023)

Calabi-Yau metrics, energy functionals and machine learning. - Anthony Ashmore; Lucille Calmon; Yang-Hui He; Burt A. Ovrut (Int. J. Data Sci. Math. Sci., 2023)

Polytopes and machine learning. - Jiakang Bao; Yang-Hui He; Edward Hirst; Johannes Hofscheier; Alexander M. Kasprzyk; Suvajit Majumder (Int. J. Data Sci. Math. Sci., 2023)

Machine learning etudes in conformal field theories. - Heng-Yu Chen; Yang-Hui He; Shailesh Lal; M. Zaid Zaz (Int. J. Data Sci. Math. Sci., 2023)

Editorial Note. - Yang-Hui He (Int. J. Data Sci. Math. Sci., 2023)

Machine-learning mathematical structures. - Yang-Hui He (Int. J. Data Sci. Math. Sci., 2023)

A visualization of the classical musical tradition. - Yang-Hui He (Int. J. Data Sci. Math. Sci., 2023)

Learning algebraic structures: Preliminary investigations. - Yang-Hui He; Minhyong Kim (Int. J. Data Sci. Math. Sci., 2023)

Neurons on amoebae. - Jiakang Bao; Yang-Hui He; Edward Hirst (J. Symb. Comput., 2023)

Machine learning invariants of arithmetic curves. - Yang-Hui He; Kyu-Hwan Lee; Thomas Oliver (J. Symb. Comput., 2023)

MSSM: A Macaulay2 Package for the Vacuum Moduli Space. - Yang-Hui He; Vishnu Jejjala; Brent D. Nelson; Hal Schenck; Michael Eugene Stillman (ACM Commun. Comput. Algebra, 2023)

Special issue on Algebraic Geometry and Machine Learning. - Jonathan D. Hauenstein; Yang-Hui He; Ilias S. Kotsireas; Dhagash Mehta; Tingting Tang (J. Symb. Comput., 2023)

Topological data analysis on noisy quantum computers. - Ismail Yunus Akhalwaya; Shashanka Ubaru; Kenneth L. Clarkson; Mark S. Squillante; Vishnu Jejjala; Yang-Hui He; Kugendran Naidoo; Vasileios Kalantzis; Lior Horesh (ICLR, 2024)

A Triumvirate of AI Driven Theoretical Discovery. - Yang-Hui He (CoRR, 2024)

Editorial Note. - Yang-Hui He; Thomas Oliver; Alexander M. Kasprzyk (Int. J. Data Sci. Math. Sci., 2024)

Editorial Note. - Yang-Hui He; Kyu-Hwan Lee; Thomas Oliver (Int. J. Data Sci. Math. Sci., 2024)